engleski

Dynamic Adaptation of QoS Parameters for Networked Virtual Reality Services

With the increasing variety of access options being used to access advanced services such as Networked Virtual Reality (NVR) it is becoming necessary to address service customization and mechanisms for the negotiation of Quality of Service (QoS) parameters. The need for renegotiation and service adaptation mechanisms stems from dynamic changes occurring during a service lifetime, including the following: changes in the capabilities/preferences of the end user, changes in network resource availability/cost, and changes in service requirements. The goal of this thesis is to investigate QoS parameters for NVR services and propose a model for the dynamic adaptation of such parameters in light of changes occurring during a service lifetime. The dynamic resource allocation and application configuration problem is formulated as an optimization problem with the goal of maximizing user perceived quality. Constraints are imposed by the end user capabilities and preferences, available resources and resource costs, and service requirements. Implementation of the proposed model in a laboratory testbed demonstrates how the use of dynamic QoS negotiation and renegotiation enables the efficient use of QoS resources. In addition, the applied service adaptation mechanisms illustrate how to maintain acceptable service quality despite changes occurring during a service lifetime.

Network Virtual Reality; Quality of Service (QoS) parameters; dynamic service adaptation model; QoS negotiation; QoS signalization; client profile; service profile; dynamic service requirements; network resource availability; next generation networks

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